This three-year, $749,999 National Science Foundation project grant funds research at the University of Michigan on instantaneous feedback-based adaptive communications and networks (IFAC). IFAC enables sub-bit level, real-time adaptation of wireless communication signals based on instant feedback from receivers to optimize spectral efficiency, reliability, and latency for emerging applications requiring ultra-reliable low latency communication such as autonomous systems and virtual/augmented reality. Inspired by early work utilizing instant feedback, this program aims to demonstrate the feasibility of end-to-end systems with negligible feedback latency, significantly shorter than average symbol length. IFAC is a rateless scheme that dynamically optimizes performance metrics given channel conditions and target outage probabilities. The research also includes curriculum development in interdisciplinary topics including communication theory, machine learning, and hardware prototyping. Funded under the NSF Engineering Directorate, this award supports innovation in engineering research and education to foster economic strength through technological progress.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $750.0k | 9/6/22 |